QM/BUPT Joint Programme Final Year Projects Dr Jonathan Loo

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Presentation transcript:

QM/BUPT Joint Programme Final Year Projects Dr Jonathan Loo

My Professional Highlights (1/2) 12 years of extensive research in wide-spectrum of topics from both the Computer Science and Engineering perspectives e.g. computer networks/Internet technology, wireless/mobile systems and networks, network security, wireless communication systems, and computer applications which led to 14 PhDs completion and contribution to existing knowledge of 175 peer-reviewed publications (see below for details) – – – 1 year 3 months secondment at Saudi Telecom Company (STC) as Senior Consultant largely consulting convergence from LTE mobile network technology to Business development, and the “Big-Data” capability.

My Professional Highlights (2/2) Highly dependable, independent, open-minded, self-motivated, friendly and approachable personality. Awarded Chartered Engineer (CEng) by the UK Engineering Council, a prestigious professional qualification recognised internationally for an engineer who demonstrates the required professional competences in technical and leadership, and possesses effective interpersonal skills.

My Expertise (1/2) Broad knowledge and research expertise in wide-spectrum of topics from both Computer Science and Engineering perspectives, which covers multi-disciplinary topics (to name a few): Information and Communication Technology (ICT): Virtualisation, Cloud computing, Computer Application, Information Centric Networking, Software-Defined Networking, Network QoS and Security; Wireless Networks, Protocols and Security: Internet of Things (IoT) / Machine-to-Machine (M2M), Wireless Sensor Network (WSN) / 6LoWPAN/RPL, Vehicular Area Network (VANET), Mobile Adhoc Network (MANET), Opportunistic Network, Wireless proximity data mining, QoS Security;

My Expertise (2/2) Mobile Networks: Packet scheduling, Resource Allocation Management LTE/Femtocell; Wireless communication systems: Channel coding, Modulation, Cognitive Radio; Computer Applications: Video coding and transmission, Semantic multimedia data annotation, search and retrieval, Voice-over-IP, User behaviour analysis (with wireless proximity data); Embedded Systems: Embedded Linux, System-on-Chip architecture (ARM, OMAP), DSP (Texas Instrument, Analog Devices), FPGA (Xilinx); Applied Soft Computing and Computational Intelligence: Genetic Algorithm, Evolutionary Strategy, Bayesian Inference, Particle Swam Optimisation.

My Research Coverage Map (not limited to) Cross-layer protocol Video compression and transmission Perceptual video coding Video transmission with error resilience scheme Video transmission with error resilience scheme Wireless sensor network Throughput, e2e delay, packet loss Energy saving Mobile Network (LTE) Throughput, e2e delay, packet loss, fairness Resource allocation Admission control Packet scheduling New development Software Defined Networking (SDN) Information Centric Networking (ICN) Network QoS analysis Network topology Intrusion detection system based on network QoS Network Communication Mobile ad hoc network Wireless sensor network Vehicular area Network Multimedia Communication Video compression Video transmission Medium Access Wireless sensor network Vehicular area Network LTE Vehicular area network Throughput, e2e delay, packet loss, access time, reliability Interference

My Project Offers (1/2) Network 1)Design and evaluate the impact of internal attack on RPL/6LoWPAN based Wireless Sensor Network 2)Detection of internal attack on RPL/6LoWPAN based Wireless Sensor Network using Bayesian Network 3)Design and Evaluate Software-Defined VANET Architecture using OMNET++ 4)Design and evaluate dynamic network load balancing based on SDN/Openflow Wireless 1)Design and evaluate an energy-aware downlink packet scheduling mechanism in LTE network

My Project Offers (2/2) Hardware 1)Implement and evaluate software-defined network testbed using Raspberry Pi as OpenFlow Switches 2)GPS/GSM-Assisted Autonomous Remote Control Car with Baidu Map API 3)Intelligent Remote Door Answering System using Raspberry Pi Software (suitable for e-commerce students) 1)Emergence alert geo-location mapping using social network data (Weibo/Tweeters) 2)Online Food Takeaway Ordering Service 3)Phone App for Part-time job brokerage service